As it was mentioned in previous articles, data analysis is used for data processing and data manipulation which are the processes of changing or altering data in order to organize them and make them more understandable. The 4 types of analysis have been briefly analyzed but in order to be able to use them, you will need programming knowledge. Due to the enormous number of structured and unstructured data, it is necessary to process them using advance technology to derive meanigful information. The programming languages and other BI tools, are the most important factors to accomplish the data analysis. So, every data scientist or analyst will need to know abouth the aforementioned. What are they assuming about data scientist role? One of the analysis types is the predictive analysis, which involves the implementation and usage of machine learning algorithms to predict or classify the data. Regarding the role description, what is being advertised and what a d...
Analysis, the key of success Analysis of data is the key to become successful as human, and even better, to succeed on running a business. When data are used effectively in an efficient way you can get fast and clear observations on the past performance of your life and your business, and then to make better decisions for the future. There are million ways that the data analytics can support you, in any level of your business in order to achieve any target of your choice. However, to succeed your goals, you need to know the four types of data analysis that are commonly used in every business in every industry. Every category has its own target and they are connected to each other. What's even more, every category is an extension of the other so you need to have a consolidated view and understanding of each category to find the seeking outcome. As you can see at the below graph demonstrates the complexity of each category and added-value contribution. At the same time you can see ...